Lead Data Analyst - Senior Vice President

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Job Overview

Data Science Sr Lead Analyst is a strategic professional who closely follows latest trends in own field and adapts them for application within own job and the business. Typically, a small number of people within the business that provide the same level of expertise. Excellent communication skills required in order to negotiate internally, often at a senior level. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Accountable for significant direct business results or authoritative advice regarding the operations of the business. Necessitates a degree of responsibility over technical strategy. Primarily affects a sub-function. Responsible for handling staff management issues, including resource management and allocation of work within the team/project.

• Responsibilities:

• Vendor resource Management – Oversee resource management for global contractor population of vendor resources, ensure timely on boarding, renewals and roll offs. This will be the primary focus of this role.

• Work closely with project managers/ leads, Staffing office and Citi Procurement to facilitate the execution of vendor work orders/Statements of Work(SOW) and amendments as required.

• Summarize budgets and submit recommendations for the approval or disapproval of funds requests Head Count management – source information, manage and monitor Head Count data (employees and non-employees) from Vendor reports and internal requisitions and present the data in various formats per executive management request.

• Maintains a central repository of resource count, project assignments, and other relevant information for weekly reporting.

• Provides technical expertise to manage and automate manual data sets using advanced Excel and data management techniques.

• Provide reports and analysis to senior managers to identify savings/re-balancing opportunities and support for strategic planning.

• Developing, analyzing, and maintaining metrics for measuring success, opportunities for improvement, management reporting and escalation.

• Responsible for delivery of end results and contributes to planning, budget asks and formulation of procedures which directly impacts the business analysis area, influences resource planning for savings. Promote process improvement in all areas involved through proactive identifications of gaps and risks.

• Create and maintain process standards/ methodologies and best practices.

• Identify Automation/efficiency opportunities where possible and successful implementation. Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients, and assets, by driving compliance with applicable laws, rules, and regulations, judgment regarding personal behavior, conduct and business practices, and escalating, managing, and reporting control issues with transparency. 

• Qualifications:

• 15+ years relevant experience Demonstrated Data Analysis skillset ( must be capable of organizing and managing complex and dynamic data sets)

• Advanced understanding of Microsoft Excel (advanced look ups/ Pivot tables/ conditional formatting/MACROs/data slicers and filters)

• Ability to monitor tight deadlines or unexpected requirement changes

• Education: Bachelor’s/University degree or equivalent experience in Budgeting/Financial background

• Additional comments: This role requires understanding of manual data assimilation, cleaning, and organizing them in tabular/graphical format for Sr. Management reporting. Automation skills ( Macros/scripts) and look up skills ( Vlookup, Xlookup, Conditional formatting, PIVOT tables and Joins) are mandatory

Education:

• Bachelor’s/University degree or equivalent experience, potentially Masters degree

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology

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Job Family:

Data Science

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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